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Chang-Qing Yu

Showing results (31-40 of 53) with videos related to

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Frontiers in Genetics|August 1, 2022
BNEMDI: A Novel MicroRNA-Drug Interaction Prediction Model Based on Multi-Source Information With a Large-Scale Biological NetworkYong-Jian Guan, Chang-Qing Yu, Li-Ping Li, et al.
IEEE Journal of Biomedical and Health Informatics|October 27, 2022
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target InteractionsYue-Chao Li, Zhu-Hong You, Chang-Qing Yu, et al.
Journal of Chemical Information and Modeling|January 20, 2025
Predicting circRNA-Disease Associations through Multisource Domain-Aware Embeddings and Feature Projection NetworksSi-Zhe Liang, Lei Wang, Zhu-Hong You, et al.
Journal of Chemical Information and Modeling|September 4, 2024
RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network EmbeddingChang-Qing Yu, Xin-Fei Wang, Li-Ping Li, et al.
Biology|January 21, 2023
MFIDMA: A Multiple Information Integration Model for the Prediction of Drug-miRNA AssociationsYong-Jian Guan, Chang-Qing Yu, Yan Qiao, et al.
BMC Biology|June 8, 2025
iHofman: a predictive model integrating high-order and low-order features with weighted attention mechanisms for circRNA-miRNA interactionsChang-Qing Yu, Chen Jiang, Lei Wang, et al.
BMC Bioinformatics|January 3, 2024
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small moleculesYong-Jian Guan, Chang-Qing Yu, Li-Ping Li, et al.
Frontiers in Bioengineering and Biotechnology|April 7, 2022
DWPPI: A Deep Learning Approach for Predicting Protein-Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological NetworkJie Pan, Zhu-Hong You, Li-Ping Li, et al.
Journal of Chemical Information and Modeling|December 16, 2023
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph ConvolutionZhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, et al.
Iscience|August 16, 2023
KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoderXin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Pageof 6

Showing results (31-40 of 53) with videos related to

Sort By:
Pageof 6
Frontiers in Genetics|August 1, 2022
BNEMDI: A Novel MicroRNA-Drug Interaction Prediction Model Based on Multi-Source Information With a Large-Scale Biological NetworkYong-Jian Guan, Chang-Qing Yu, Li-Ping Li, et al.
IEEE Journal of Biomedical and Health Informatics|October 27, 2022
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target InteractionsYue-Chao Li, Zhu-Hong You, Chang-Qing Yu, et al.
Journal of Chemical Information and Modeling|January 20, 2025
Predicting circRNA-Disease Associations through Multisource Domain-Aware Embeddings and Feature Projection NetworksSi-Zhe Liang, Lei Wang, Zhu-Hong You, et al.
Journal of Chemical Information and Modeling|September 4, 2024
RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network EmbeddingChang-Qing Yu, Xin-Fei Wang, Li-Ping Li, et al.
Biology|January 21, 2023
MFIDMA: A Multiple Information Integration Model for the Prediction of Drug-miRNA AssociationsYong-Jian Guan, Chang-Qing Yu, Yan Qiao, et al.
BMC Biology|June 8, 2025
iHofman: a predictive model integrating high-order and low-order features with weighted attention mechanisms for circRNA-miRNA interactionsChang-Qing Yu, Chen Jiang, Lei Wang, et al.
BMC Bioinformatics|January 3, 2024
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small moleculesYong-Jian Guan, Chang-Qing Yu, Li-Ping Li, et al.
Frontiers in Bioengineering and Biotechnology|April 7, 2022
DWPPI: A Deep Learning Approach for Predicting Protein-Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological NetworkJie Pan, Zhu-Hong You, Li-Ping Li, et al.
Journal of Chemical Information and Modeling|December 16, 2023
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph ConvolutionZhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, et al.
Iscience|August 16, 2023
KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoderXin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, et al.
Pageof 6